Overview

Dataset statistics

Number of variables17
Number of observations214
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory28.5 KiB
Average record size in memory136.6 B

Variable types

DateTime1
Categorical4
Numeric12

Alerts

HighTemp is highly overall correlated with LowTemp and 2 other fieldsHigh correlation
LowTemp is highly overall correlated with HighTempHigh correlation
Precipitation is highly overall correlated with is_precipitationHigh correlation
Brooklyn Bridge is highly overall correlated with HighTemp and 5 other fieldsHigh correlation
Manhattan Bridge is highly overall correlated with Brooklyn Bridge and 3 other fieldsHigh correlation
Williamsburg Bridge is highly overall correlated with Brooklyn Bridge and 5 other fieldsHigh correlation
Queensboro Bridge is highly overall correlated with HighTemp and 5 other fieldsHigh correlation
Total is highly overall correlated with Brooklyn Bridge and 5 other fieldsHigh correlation
Month is highly overall correlated with Month_nr and 1 other fieldsHigh correlation
Day_nr is highly overall correlated with Day and 1 other fieldsHigh correlation
Month_nr is highly overall correlated with Month and 1 other fieldsHigh correlation
Day is highly overall correlated with Day_nr and 1 other fieldsHigh correlation
is_weekend is highly overall correlated with Williamsburg Bridge and 4 other fieldsHigh correlation
is_precipitation is highly overall correlated with Precipitation and 3 other fieldsHigh correlation
is_rainy_month is highly overall correlated with Month and 1 other fieldsHigh correlation
Day is uniformly distributedUniform
Date has unique valuesUnique
Precipitation has 146 (68.2%) zerosZeros

Reproduction

Analysis started2023-01-11 16:09:01.186321
Analysis finished2023-01-11 16:09:28.333310
Duration27.15 seconds
Software versionpandas-profiling vdev
Download configurationconfig.json

Variables

Date
Date

Distinct214
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum2016-04-01 00:00:00
Maximum2016-10-31 00:00:00
Histogram with fixed size bins (bins=50)

Day
Categorical

HIGH CORRELATION  UNIFORM 

Distinct7
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Friday
31 
Saturday
31 
Sunday
31 
Monday
31 
Tuesday
30 
Other values (2)
60 

Length

Max length9
Median length8
Mean length7.1308411
Min length6

Characters and Unicode

Total characters1526
Distinct characters17
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowFriday
2nd rowSaturday
3rd rowSunday
4th rowMonday
5th rowTuesday

Common Values

ValueCountFrequency (%)
Friday 31
14.5%
Saturday 31
14.5%
Sunday 31
14.5%
Monday 31
14.5%
Tuesday 30
14.0%
Wednesday 30
14.0%
Thursday 30
14.0%

Length

Histogram of lengths of the category

Common Values (Plot)

ValueCountFrequency (%)
friday 31
14.5%
saturday 31
14.5%
sunday 31
14.5%
monday 31
14.5%
tuesday 30
14.0%
wednesday 30
14.0%
thursday 30
14.0%

Most occurring characters

ValueCountFrequency (%)
a 245
16.1%
d 244
16.0%
y 214
14.0%
u 122
8.0%
r 92
 
6.0%
n 92
 
6.0%
s 90
 
5.9%
e 90
 
5.9%
S 62
 
4.1%
T 60
 
3.9%
Other values (7) 215
14.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1312
86.0%
Uppercase Letter 214
 
14.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 245
18.7%
d 244
18.6%
y 214
16.3%
u 122
9.3%
r 92
 
7.0%
n 92
 
7.0%
s 90
 
6.9%
e 90
 
6.9%
o 31
 
2.4%
t 31
 
2.4%
Other values (2) 61
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
S 62
29.0%
T 60
28.0%
F 31
14.5%
M 31
14.5%
W 30
14.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1526
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 245
16.1%
d 244
16.0%
y 214
14.0%
u 122
8.0%
r 92
 
6.0%
n 92
 
6.0%
s 90
 
5.9%
e 90
 
5.9%
S 62
 
4.1%
T 60
 
3.9%
Other values (7) 215
14.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1526
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 245
16.1%
d 244
16.0%
y 214
14.0%
u 122
8.0%
r 92
 
6.0%
n 92
 
6.0%
s 90
 
5.9%
e 90
 
5.9%
S 62
 
4.1%
T 60
 
3.9%
Other values (7) 215
14.1%

HighTemp
Real number (ℝ)

Distinct59
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.933645
Minimum39.9
Maximum96.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB

Quantile statistics

Minimum39.9
5-th percentile50.715
Q166.05
median78.1
Q384.9
95-th percentile91
Maximum96.1
Range56.2
Interquartile range (IQR)18.85

Descriptive statistics

Standard deviation12.545418
Coefficient of variation (CV)0.16742036
Kurtosis-0.28960058
Mean74.933645
Median Absolute Deviation (MAD)8.1
Skewness-0.64989256
Sum16035.8
Variance157.3875
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
86 12
 
5.6%
82.9 12
 
5.6%
82 9
 
4.2%
84 8
 
3.7%
87.1 8
 
3.7%
78.1 7
 
3.3%
71.1 7
 
3.3%
79 6
 
2.8%
73.9 6
 
2.8%
68 6
 
2.8%
Other values (49) 133
62.1%
ValueCountFrequency (%)
39.9 1
 
0.5%
42.1 1
 
0.5%
43 1
 
0.5%
44.1 1
 
0.5%
45 1
 
0.5%
46.9 2
0.9%
48.9 1
 
0.5%
50 3
1.4%
51.1 2
0.9%
53.1 1
 
0.5%
ValueCountFrequency (%)
96.1 2
 
0.9%
95 1
 
0.5%
93.9 2
 
0.9%
93 3
1.4%
91.9 1
 
0.5%
91 3
1.4%
90 6
2.8%
89.6 1
 
0.5%
89.1 5
2.3%
88 5
2.3%

LowTemp
Real number (ℝ)

Distinct56
Distinct (%)26.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61.97243
Minimum26.1
Maximum82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB

Quantile statistics

Minimum26.1
5-th percentile44.065
Q153.225
median64.9
Q371.1
95-th percentile77
Maximum82
Range55.9
Interquartile range (IQR)17.875

Descriptive statistics

Standard deviation11.670566
Coefficient of variation (CV)0.18831867
Kurtosis-0.31255019
Mean61.97243
Median Absolute Deviation (MAD)7.9
Skewness-0.60877805
Sum13262.1
Variance136.2021
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
69.1 13
 
6.1%
72 10
 
4.7%
75 9
 
4.2%
66.9 9
 
4.2%
68 8
 
3.7%
66 8
 
3.7%
70 8
 
3.7%
77 8
 
3.7%
71.1 7
 
3.3%
46.9 7
 
3.3%
Other values (46) 127
59.3%
ValueCountFrequency (%)
26.1 1
0.5%
30 1
0.5%
30.9 1
0.5%
33.1 1
0.5%
34 1
0.5%
37.9 2
0.9%
39 1
0.5%
39.9 1
0.5%
41 1
0.5%
44 1
0.5%
ValueCountFrequency (%)
82 1
 
0.5%
81 2
 
0.9%
80.1 2
 
0.9%
78.1 4
1.9%
77 8
3.7%
75.9 2
 
0.9%
75.2 1
 
0.5%
75 9
4.2%
73.9 4
1.9%
73 6
2.8%

Precipitation
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct44
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.10906542
Minimum0
Maximum1.65
Zeros146
Zeros (%)68.2%
Negative0
Negative (%)0.0%
Memory size1.8 KiB

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.0475
95-th percentile0.634
Maximum1.65
Range1.65
Interquartile range (IQR)0.0475

Descriptive statistics

Standard deviation0.25995858
Coefficient of variation (CV)2.3835106
Kurtosis11.247875
Mean0.10906542
Median Absolute Deviation (MAD)0
Skewness3.1826464
Sum23.34
Variance0.067578465
MonotonicityNot monotonic
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0 146
68.2%
0.01 8
 
3.7%
0.09 5
 
2.3%
0.04 4
 
1.9%
0.16 3
 
1.4%
0.22 3
 
1.4%
0.2 2
 
0.9%
0.05 2
 
0.9%
0.45 2
 
0.9%
0.15 2
 
0.9%
Other values (34) 37
 
17.3%
ValueCountFrequency (%)
0 146
68.2%
0.01 8
 
3.7%
0.02 1
 
0.5%
0.03 1
 
0.5%
0.04 4
 
1.9%
0.05 2
 
0.9%
0.06 1
 
0.5%
0.08 1
 
0.5%
0.09 5
 
2.3%
0.11 1
 
0.5%
ValueCountFrequency (%)
1.65 1
0.5%
1.41 1
0.5%
1.11 1
0.5%
1.09 1
0.5%
1.08 1
0.5%
1 1
0.5%
0.91 1
0.5%
0.83 1
0.5%
0.82 1
0.5%
0.68 1
0.5%

Brooklyn Bridge
Real number (ℝ)

Distinct206
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3030.7009
Minimum504
Maximum8264
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB

Quantile statistics

Minimum504
5-th percentile1054.1
Q12387.75
median3076.5
Q33685.25
95-th percentile4635.5
Maximum8264
Range7760
Interquartile range (IQR)1297.5

Descriptive statistics

Standard deviation1134.0448
Coefficient of variation (CV)0.37418566
Kurtosis2.0064404
Mean3030.7009
Median Absolute Deviation (MAD)627.5
Skewness0.3463898
Sum648570
Variance1286057.7
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3966 2
 
0.9%
4057 2
 
0.9%
3079 2
 
0.9%
3026 2
 
0.9%
3580 2
 
0.9%
3663 2
 
0.9%
4029 2
 
0.9%
1916 2
 
0.9%
4304 1
 
0.5%
1888 1
 
0.5%
Other values (196) 196
91.6%
ValueCountFrequency (%)
504 1
0.5%
521 1
0.5%
526 1
0.5%
544 1
0.5%
621 1
0.5%
651 1
0.5%
652 1
0.5%
756 1
0.5%
827 1
0.5%
918 1
0.5%
ValueCountFrequency (%)
8264 1
0.5%
6834 1
0.5%
5885 1
0.5%
5464 1
0.5%
5354 1
0.5%
5293 1
0.5%
5152 1
0.5%
5136 1
0.5%
4804 1
0.5%
4753 1
0.5%

Manhattan Bridge
Real number (ℝ)

Distinct211
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5052.2336
Minimum997
Maximum9152
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB

Quantile statistics

Minimum997
5-th percentile1802.65
Q13713.25
median5132
Q36609.5
95-th percentile7463.8
Maximum9152
Range8155
Interquartile range (IQR)2896.25

Descriptive statistics

Standard deviation1745.4854
Coefficient of variation (CV)0.34548786
Kurtosis-0.68999626
Mean5052.2336
Median Absolute Deviation (MAD)1458
Skewness-0.32164137
Sum1081178
Variance3046719.3
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5942 2
 
0.9%
3157 2
 
0.9%
2971 2
 
0.9%
3126 1
 
0.5%
2959 1
 
0.5%
7339 1
 
0.5%
5326 1
 
0.5%
5658 1
 
0.5%
4700 1
 
0.5%
7005 1
 
0.5%
Other values (201) 201
93.9%
ValueCountFrequency (%)
997 1
0.5%
1067 1
0.5%
1173 1
0.5%
1232 1
0.5%
1254 1
0.5%
1453 1
0.5%
1525 1
0.5%
1542 1
0.5%
1558 1
0.5%
1593 1
0.5%
ValueCountFrequency (%)
9152 1
0.5%
7869 1
0.5%
7751 1
0.5%
7745 1
0.5%
7598 1
0.5%
7594 1
0.5%
7565 1
0.5%
7559 1
0.5%
7542 1
0.5%
7532 1
0.5%

Williamsburg Bridge
Real number (ℝ)

Distinct211
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6160.8738
Minimum1440
Maximum9148
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB

Quantile statistics

Minimum1440
5-th percentile2596.85
Q14884.5
median6334.5
Q37858
95-th percentile8762.05
Maximum9148
Range7708
Interquartile range (IQR)2973.5

Descriptive statistics

Standard deviation1910.6431
Coefficient of variation (CV)0.31012534
Kurtosis-0.68756698
Mean6160.8738
Median Absolute Deviation (MAD)1474.5
Skewness-0.42623301
Sum1318427
Variance3650557.1
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8231 2
 
0.9%
5649 2
 
0.9%
7913 2
 
0.9%
4115 1
 
0.5%
7610 1
 
0.5%
7411 1
 
0.5%
6867 1
 
0.5%
5402 1
 
0.5%
3920 1
 
0.5%
7866 1
 
0.5%
Other values (201) 201
93.9%
ValueCountFrequency (%)
1440 1
0.5%
1507 1
0.5%
1695 1
0.5%
2045 1
0.5%
2062 1
0.5%
2108 1
0.5%
2122 1
0.5%
2137 1
0.5%
2422 1
0.5%
2473 1
0.5%
ValueCountFrequency (%)
9148 1
0.5%
9037 1
0.5%
9028 1
0.5%
9008 1
0.5%
8972 1
0.5%
8959 1
0.5%
8942 1
0.5%
8897 1
0.5%
8788 1
0.5%
8766 1
0.5%

Queensboro Bridge
Real number (ℝ)

Distinct207
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4300.7243
Minimum1306
Maximum6392
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB

Quantile statistics

Minimum1306
5-th percentile1904.6
Q13495.75
median4342.5
Q35308.5
95-th percentile6102.9
Maximum6392
Range5086
Interquartile range (IQR)1812.75

Descriptive statistics

Standard deviation1260.9857
Coefficient of variation (CV)0.29320311
Kurtosis-0.59795123
Mean4300.7243
Median Absolute Deviation (MAD)923.5
Skewness-0.39039879
Sum920355
Variance1590085
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5880 2
 
0.9%
5066 2
 
0.9%
6295 2
 
0.9%
4813 2
 
0.9%
5927 2
 
0.9%
5606 2
 
0.9%
3763 2
 
0.9%
2552 1
 
0.5%
3048 1
 
0.5%
3721 1
 
0.5%
Other values (197) 197
92.1%
ValueCountFrequency (%)
1306 1
0.5%
1307 1
0.5%
1408 1
0.5%
1439 1
0.5%
1502 1
0.5%
1517 1
0.5%
1612 1
0.5%
1741 1
0.5%
1805 1
0.5%
1884 1
0.5%
ValueCountFrequency (%)
6392 1
0.5%
6382 1
0.5%
6315 1
0.5%
6295 2
0.9%
6261 1
0.5%
6246 1
0.5%
6223 1
0.5%
6217 1
0.5%
6204 1
0.5%
6112 1
0.5%

Total
Real number (ℝ)

Distinct211
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18544.533
Minimum4335
Maximum28437
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB

Quantile statistics

Minimum4335
5-th percentile7548.85
Q114825.75
median19001.5
Q323253.5
95-th percentile26299.75
Maximum28437
Range24102
Interquartile range (IQR)8427.75

Descriptive statistics

Standard deviation5702.0838
Coefficient of variation (CV)0.30748059
Kurtosis-0.45990309
Mean18544.533
Median Absolute Deviation (MAD)4262.5
Skewness-0.52314417
Sum3968530
Variance32513759
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20850 2
 
0.9%
11562 2
 
0.9%
18315 2
 
0.9%
11497 1
 
0.5%
19800 1
 
0.5%
20105 1
 
0.5%
22437 1
 
0.5%
21735 1
 
0.5%
19892 1
 
0.5%
21194 1
 
0.5%
Other values (201) 201
93.9%
ValueCountFrequency (%)
4335 1
0.5%
4510 1
0.5%
4759 1
0.5%
5278 1
0.5%
5423 1
0.5%
5839 1
0.5%
6248 1
0.5%
6626 1
0.5%
6789 1
0.5%
6922 1
0.5%
ValueCountFrequency (%)
28437 1
0.5%
28222 1
0.5%
27579 1
0.5%
26978 1
0.5%
26950 1
0.5%
26588 1
0.5%
26553 1
0.5%
26542 1
0.5%
26402 1
0.5%
26391 1
0.5%

NumDay
Real number (ℝ)

Distinct31
Distinct (%)14.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.78972
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB

Quantile statistics

Minimum1
5-th percentile2
Q18
median16
Q323
95-th percentile29.35
Maximum31
Range30
Interquartile range (IQR)15

Descriptive statistics

Standard deviation8.8481019
Coefficient of variation (CV)0.56037106
Kurtosis-1.1987916
Mean15.78972
Median Absolute Deviation (MAD)8
Skewness0.0027133487
Sum3379
Variance78.288908
MonotonicityNot monotonic
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1 7
 
3.3%
17 7
 
3.3%
30 7
 
3.3%
29 7
 
3.3%
28 7
 
3.3%
27 7
 
3.3%
26 7
 
3.3%
25 7
 
3.3%
24 7
 
3.3%
23 7
 
3.3%
Other values (21) 144
67.3%
ValueCountFrequency (%)
1 7
3.3%
2 7
3.3%
3 7
3.3%
4 7
3.3%
5 7
3.3%
6 7
3.3%
7 7
3.3%
8 7
3.3%
9 7
3.3%
10 7
3.3%
ValueCountFrequency (%)
31 4
1.9%
30 7
3.3%
29 7
3.3%
28 7
3.3%
27 7
3.3%
26 7
3.3%
25 7
3.3%
24 7
3.3%
23 7
3.3%
22 7
3.3%

Month
Real number (ℝ)

Distinct7
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.0093458
Minimum4
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB

Quantile statistics

Minimum4
5-th percentile4
Q15
median7
Q39
95-th percentile10
Maximum10
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.0023241
Coefficient of variation (CV)0.28566491
Kurtosis-1.2469503
Mean7.0093458
Median Absolute Deviation (MAD)2
Skewness-0.0023280128
Sum1500
Variance4.0093019
MonotonicityIncreasing
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 31
14.5%
7 31
14.5%
8 31
14.5%
10 31
14.5%
4 30
14.0%
6 30
14.0%
9 30
14.0%
ValueCountFrequency (%)
4 30
14.0%
5 31
14.5%
6 30
14.0%
7 31
14.5%
8 31
14.5%
9 30
14.0%
10 31
14.5%
ValueCountFrequency (%)
10 31
14.5%
9 30
14.0%
8 31
14.5%
7 31
14.5%
6 30
14.0%
5 31
14.5%
4 30
14.0%

Day_nr
Real number (ℝ)

Distinct7
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.0140187
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.0128203
Coefficient of variation (CV)0.50144768
Kurtosis-1.2600469
Mean4.0140187
Median Absolute Deviation (MAD)2
Skewness-0.015861269
Sum859
Variance4.0514457
MonotonicityNot monotonic
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 31
14.5%
6 31
14.5%
7 31
14.5%
1 31
14.5%
2 30
14.0%
3 30
14.0%
4 30
14.0%
ValueCountFrequency (%)
1 31
14.5%
2 30
14.0%
3 30
14.0%
4 30
14.0%
5 31
14.5%
6 31
14.5%
7 31
14.5%
ValueCountFrequency (%)
7 31
14.5%
6 31
14.5%
5 31
14.5%
4 30
14.0%
3 30
14.0%
2 30
14.0%
1 31
14.5%

Month_nr
Real number (ℝ)

Distinct7
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.0093458
Minimum4
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB

Quantile statistics

Minimum4
5-th percentile4
Q15
median7
Q39
95-th percentile10
Maximum10
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.0023241
Coefficient of variation (CV)0.28566491
Kurtosis-1.2469503
Mean7.0093458
Median Absolute Deviation (MAD)2
Skewness-0.0023280128
Sum1500
Variance4.0093019
MonotonicityIncreasing
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 31
14.5%
7 31
14.5%
8 31
14.5%
10 31
14.5%
4 30
14.0%
6 30
14.0%
9 30
14.0%
ValueCountFrequency (%)
4 30
14.0%
5 31
14.5%
6 30
14.0%
7 31
14.5%
8 31
14.5%
9 30
14.0%
10 31
14.5%
ValueCountFrequency (%)
10 31
14.5%
9 30
14.0%
8 31
14.5%
7 31
14.5%
6 30
14.0%
5 31
14.5%
4 30
14.0%

is_weekend
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
0
152 
1
62 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters214
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 152
71.0%
1 62
29.0%

Length

Histogram of lengths of the category

Common Values (Plot)

ValueCountFrequency (%)
0 152
71.0%
1 62
29.0%

Most occurring characters

ValueCountFrequency (%)
0 152
71.0%
1 62
29.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 214
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 152
71.0%
1 62
29.0%

Most occurring scripts

ValueCountFrequency (%)
Common 214
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 152
71.0%
1 62
29.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 214
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 152
71.0%
1 62
29.0%

is_precipitation
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
0
146 
1
68 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters214
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 146
68.2%
1 68
31.8%

Length

Histogram of lengths of the category

Common Values (Plot)

ValueCountFrequency (%)
0 146
68.2%
1 68
31.8%

Most occurring characters

ValueCountFrequency (%)
0 146
68.2%
1 68
31.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 214
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 146
68.2%
1 68
31.8%

Most occurring scripts

ValueCountFrequency (%)
Common 214
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 146
68.2%
1 68
31.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 214
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 146
68.2%
1 68
31.8%

is_rainy_month
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
0
121 
1
93 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters214
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 121
56.5%
1 93
43.5%

Length

Histogram of lengths of the category

Common Values (Plot)

ValueCountFrequency (%)
0 121
56.5%
1 93
43.5%

Most occurring characters

ValueCountFrequency (%)
0 121
56.5%
1 93
43.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 214
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 121
56.5%
1 93
43.5%

Most occurring scripts

ValueCountFrequency (%)
Common 214
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 121
56.5%
1 93
43.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 214
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 121
56.5%
1 93
43.5%

Interactions

Correlations

HighTempLowTempPrecipitationBrooklyn BridgeManhattan BridgeWilliamsburg BridgeQueensboro BridgeTotalNumDayMonthDay_nrMonth_nrDayis_weekendis_precipitationis_rainy_month
HighTemp1.0000.908-0.1030.5470.3660.4250.5480.4730.1770.167-0.0090.1670.0000.0000.1720.233
LowTemp0.9081.0000.0150.4210.2540.3040.4470.3600.1050.2400.0100.2400.0000.0000.0000.252
Precipitation-0.1030.0151.000-0.471-0.483-0.492-0.448-0.481-0.037-0.0890.075-0.0890.0570.0000.6540.171
Brooklyn Bridge0.5470.421-0.4711.0000.7870.8450.8580.9100.0720.047-0.3100.0470.1100.3080.5170.124
Manhattan Bridge0.3660.254-0.4830.7871.0000.8530.8040.9200.0470.128-0.4030.1280.1670.4370.4500.167
Williamsburg Bridge0.4250.304-0.4920.8450.8531.0000.9570.9680.0970.139-0.4780.1390.2610.6000.5090.182
Queensboro Bridge0.5480.447-0.4480.8580.8040.9571.0000.9530.1010.159-0.4390.1590.2440.5450.4960.099
Total0.4730.360-0.4810.9100.9200.9680.9531.0000.0690.123-0.4480.1230.2240.5160.5260.228
NumDay0.1770.105-0.0370.0720.0470.0970.1010.0691.0000.008-0.0120.0080.0000.0000.0000.000
Month0.1670.240-0.0890.0470.1280.1390.1590.1230.0081.000-0.0021.0000.0000.0000.0120.988
Day_nr-0.0090.0100.075-0.310-0.403-0.478-0.439-0.448-0.012-0.0021.000-0.0021.0000.9880.0940.000
Month_nr0.1670.240-0.0890.0470.1280.1390.1590.1230.0081.000-0.0021.0000.0000.0000.0120.988
Day0.0000.0000.0570.1100.1670.2610.2440.2240.0000.0001.0000.0001.0000.9880.0940.000
is_weekend0.0000.0000.0000.3080.4370.6000.5450.5160.0000.0000.9880.0000.9881.0000.0000.000
is_precipitation0.1720.0000.6540.5170.4500.5090.4960.5260.0000.0120.0940.0120.0940.0001.0000.000
is_rainy_month0.2330.2520.1710.1240.1670.1820.0990.2280.0000.9880.0000.9880.0000.0000.0001.000

Missing values

A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

DateDayHighTempLowTempPrecipitationBrooklyn BridgeManhattan BridgeWilliamsburg BridgeQueensboro BridgeTotalNumDayMonthDay_nrMonth_nris_weekendis_precipitationis_rainy_month
02016-04-01Friday78.166.00.011704.03126.04115.02552.011497.01.045.04.0010
12016-04-02Saturday55.048.90.15827.01646.02565.01884.06922.02.046.04.0110
22016-04-03Sunday39.934.00.09526.01232.01695.01306.04759.03.047.04.0110
32016-04-04Monday44.133.10.47521.01067.01440.01307.04335.04.041.04.0010
42016-04-05Tuesday42.126.10.001416.02617.03081.02357.09471.05.042.04.0000
52016-04-06Wednesday45.030.00.001885.03329.03856.02849.011919.06.043.04.0000
62016-04-07Thursday57.053.10.091276.02581.03282.02457.09596.07.044.04.0010
72016-04-08Friday46.944.10.011982.03455.04113.03194.012744.08.045.04.0010
82016-04-09Saturday43.037.90.09504.0997.01507.01502.04510.09.046.04.0110
92016-04-10Sunday48.930.90.001447.02387.03132.02160.09126.010.047.04.0100
DateDayHighTempLowTempPrecipitationBrooklyn BridgeManhattan BridgeWilliamsburg BridgeQueensboro BridgeTotalNumDayMonthDay_nrMonth_nris_weekendis_precipitationis_rainy_month
2042016-10-22Saturday50.046.90.29544.01254.02108.01517.05423.022.0106.010.0111
2052016-10-23Sunday61.046.00.001899.03271.04020.02707.011897.023.0107.010.0101
2062016-10-24Monday61.051.10.003041.05470.06357.04030.018898.024.0101.010.0001
2072016-10-25Tuesday51.146.00.002616.05224.05760.04054.017654.025.0102.010.0001
2082016-10-26Wednesday50.037.90.002520.04909.05649.03870.016948.026.0103.010.0001
2092016-10-27Thursday54.041.01.41651.01558.02137.01902.06248.027.0104.010.0011
2102016-10-28Friday46.944.10.002021.03872.04271.03202.013366.028.0105.010.0001
2112016-10-29Saturday63.039.00.001639.03160.04027.02920.011746.029.0106.010.0101
2122016-10-30Sunday75.057.90.561702.02971.03531.02547.010751.030.0107.010.0111
2132016-10-31Monday54.044.00.002648.04876.05440.03720.016684.031.0101.010.0001